Changed print statements to log statements.

Author: DragonflyRobotics

src/MAGIST/NLP/SelfAttention.py

@@ -210,9 +210,9 @@ def print_results(self, attention_weights, threshold, vectorized_text, show_only
 				stat = "Not"
 			if show_only_important:
 				if attention_weights[i] >= threshold:
-					print(f"{attention_weights[i]:.2f}, {self.vectorize_layer.get_vocabulary()[vectorized_text[i]]}, {stat}")
+					self.log.info(f"{attention_weights[i]:.2f}, {self.vectorize_layer.get_vocabulary()[vectorized_text[i]]}, {stat}")
 			else:
-				print(
+				self.log.info(
 					f"{attention_weights[i]:.2f}, {self.vectorize_layer.get_vocabulary()[vectorized_text[i]]}, {stat}")
 
 	def __call__(self, input_text):

src/MAGIST/TaskManagment/ThreadedQueue.py

@@ -116,7 +116,6 @@ def search_results(self, query):
 		"""
 
 		r = self.function_returns
-		print(r)
 		r = np.array(r)
 		r = r[r[:, 0] == query]
 		r = np.squeeze(r)

src/MAGIST/Utils/WebScraper/google.py

@@ -69,7 +69,7 @@ def __my_progressbar(self, url, progress):
 		:param progress: The percentage of progress in downloading the file.
 		:return: None
 		"""
-		print(url + ' ' + str(progress) + '%')
+		self.log.info(url + ' ' + str(progress) + '%')
 
 		# t = tqdm(total=100, desc=url)
 		# t.update(progress)

src/MAGIST/Vision/DetectionDataManager/image_slicer.py

@@ -61,11 +61,11 @@ def resizer(self, size, base_path):
 
 			except (FileNotFoundError, UnidentifiedImageError, ValueError) as error:
 				if error == UnidentifiedImageError:
-					print("Unidentified image: {}".format(image_path))
+					self.log.warning("Unidentified image: {}".format(image_path))
 				if error == FileNotFoundError:
-					print("Image Not Found: {}".format(image_path))
+					self.log.warning("Image Not Found: {}".format(image_path))
 				if error == ValueError:
-					print("Image Type Not Supported: {}".format(image_path))
+					self.log.warning("Image Type Not Supported: {}".format(image_path))
 
 		self.log.info("Resized {} files in {}".format(counter, base_path))
 

src/MAGIST/Vision/FullySupervisedModels/MAGIST_Lite_Detector.py

@@ -339,7 +339,7 @@ def train(self):
 
 			if ((int(self.ckpt.step) - 1) % self.batch_size) == 0:
 				save_path = self.manager.save()
-				print("Saved checkpoint for step {}: {}".format(int(self.ckpt.step) - 1, save_path))
+				self.log.info("Saved checkpoint for step {}: {}".format(int(self.ckpt.step) - 1, save_path))
 
 			self.epoch_arr.append(epoch + 1)
 			self.train_loss_arr.append(self.train_loss.result())
@@ -355,7 +355,7 @@ def train(self):
 		self.callbacks.on_train_end()
 
 		for i in range(len(self.epoch_arr)):
-			print(
+			self.log.info(
 				f'Epoch {self.epoch_arr[i]}, '
 				f'Loss: {self.train_loss_arr[i]}, '
 				f'Accuracy: {self.train_accuracy_arr[i]}, '